Data are essential in all areas of geophysics. They are used to better understand and
manage systems, either directly or via models. Given the complexity and spatiotemporal …

Crowdsourcing is a powerful method that leverages human intelligence to solve problems in
the medical, linguistics, machine learning, and in a considerable number of other fields of …

Major natural or man-made disasters such as Hurricane Katrina or the 9/11 terror attacks
pose significant challenges for emergency responders. First, they have to develop an …

In 2007 and into 2008, a disputed presidential election in Kenya ended in a tragic and
complex pattern of violent protests, heavy-handed responses from the police and ethnically …

Over the last century, state and local governments have been challenged to keep proactive,
emergency planning efforts ahead of the after-the-disaster, response efforts. After moving …

Repair and maintenance requirements limit the successful operation of rural infrastructure.
Current best practices are centralized management, which requires travel from urban areas …

Provenance network analytics is a novel data analytics approach that helps infer properties
of data, such as quality or importance, from their provenance. Instead of analysing …

We consider the problem of task allocation in crowdsourcing systems with multiple complex
workflows, each of which consists of a set of inter-dependent micro-tasks. We propose …

During the COVID-19 outbreak, crowdsourcing-based context-aware recommender systems
(CARS) which capture the real-time context in a contactless manner played an important …

HCI research often involves intervening in the economic lives of people, but researchers
only rarely give explicit consideration to what actually constitutes prosociality in the …